MLOps
Solving for ML Model Monitoring Challenges with Model Performance Management (MPM)
The complete digitization of the world in the last few years has created both a unique opportunity and challenge for organizations. While the boom in data presents a chance ...Full Article
Technical Debt and AI: What It Is and How to Fight It
Even as the COVID-19 pandemic created worldwide uncertainty in markets including semiconductors, food, vehicles and building materials, financial investments in artificial intelligence (AI) companies continued to grow. New research ...Full Article
Landing AI, Andrew Ng’s Computer Vision Startup, Secures $57 Million in Series A Funding
Landing AI, the computer vision startup founded by the computer scientist Andrew Ng to use AI to modernize business process in real-world companies, today announced that it has raised ...Full Article
New Relic, Mona Labs Partner to Provide Deep Monitoring for Production AI Workloads
New Relic’s cloud-based software stack observability platform is being combined with AI monitoring from Mona Labs to help enterprises better monitor, analyze and troubleshoot their growing production AI workloads. ...Full Article
Spell Bringing MLOps to Deep Learning to Ease the Deep Learning Path for Enterprises
Making machine learning operations easier to use, manage and organize for enterprises has always been the goal of the series of best practices known as MLOps. But while MLOps ...Full Article
DataRobot’s Busy Day: Nabs $300M in Series G Funding and Acquires Algorithmia
In a move to solidify its position in the emerging market for enterprise AI platforms, DataRobot today announced the completion of a $300 million Series G round of funding. ...Full Article
Blaize, AI Chip Startup, Adds Edge Tool
As AI moves inexorably to the edge, placing machine learning models closer to where data is generated, more tools are emerging to enable ML operations needed for AI-based application ...Full Article
AI Developers Adjust to ‘New Normal’
The pandemic has shifted the focus of disrupted enterprise AI and machine learning projects from financial analysis and consumer insight to cost cutting and customer engagement, according to a ...Full Article
Getting Maximum Value from AI Deployments
Artificial intelligence presents tremendous business opportunity, and organizations are increasingly investing in this technology to experience the value it can deliver. One survey of leading companies shows that the ...Full Article
AutoML Startup dotData Supports Container-Based Models
As data science platforms expand across enterprise applications like predictive analytics, automated machine learning vendors are steadily integrating AI models with emerging infrastructure to ease deployment and orchestration. For ...Full Article
